# Miris > Miris is a 3D adaptive spatial streaming platform. Instead of compressing assets for download or renting cloud GPUs for pixel streaming, Miris streams spatial data that reconstructs on end-user devices in real time. Content loads in under a second, refines progressively, and scales to millions of concurrent users at CDN economics. Miris is built for frontend developers, technical artists, and platform teams delivering interactive 3D experiences at scale. Primary use cases include retail product configurators, architectural visualization, physical AI and digital twins, and immersive XR experiences. Miris is not a pixel streaming service, a game engine plugin, or a CDN for traditional 3D file formats like glTF or FBX. It is infrastructure for adaptive spatial streaming — a fundamentally different delivery model. ## Company - Founded in 2024, headquartered in Culver City, CA - Backed by IAG Capital Partners - Currently in public beta (launched March 24, 2026) - Beta access is free and self-serve; teams can sign up, upload OpenUSD assets, and start streaming without a sales call - General availability pricing will follow CDN-style bandwidth economics, not per-user GPU costs ## Developers - [Developers](https://www.miris.com/developers): The main developer hub for the Miris beta — includes links to the quick start guide, SDK documentation, interactive playground, knowledge base, Discord community, and support. Covers FAQs on file formats, processing time, asset re-upload, beta limits, view counting, device compatibility, SDK vs. viewer key differences, and how Miris differs from glTF/glb hosting. ## Platform - [How Miris Works](https://www.miris.com/platform): Overview of the ingest, optimization, and adaptive streaming pipeline — upload once, stream everywhere - [Miris vs. Client-Side Rendering and Pixel Streaming](https://www.miris.com/vs): Direct technical comparison of Miris adaptive spatial streaming versus WebGL/glTF client-side rendering and pixel streaming — covering load time, fidelity, scalability, and cost per session - [Request Beta Access](https://www.miris.com/request-beta-access): Sign up to join the public beta; includes sample assets to explore immediately - [Developer Documentation](https://mirisdocs.com/docs/intro): SDK integration guides, asset upload instructions, and streaming configuration references - [Miris Player](https://player.miris.com): The hosted web player for streaming Miris-optimized 3D assets in-browser - [3D in Retail: From Gimmick to Growth Driver](https://www.miris.com/ebook/3d-in-retail): Strategic report on 3D visualization in retail — conversion impact data, delivery infrastructure requirements, and the business case for adaptive streaming at enterprise scale ## Blog - [Streaming your first 3D asset in under 10 minutes](https://www.miris.com/blog/streaming-your-first-3d-asset-in-under-10-minutes): In this guide, we walk through the entire process of uploading an asset to Miris, generating a streamable version, previewing it in the browser, and sharing it with anyone who has a modern browser. - [We streamed a CAD-derived jet engine to a browser at NVIDIA GTC. Here's how.](https://www.miris.com/blog/we-streamed-a-cad-derived-jet-engine): The demo illustrates a new infrastructure pattern for Physical AI: decouple upstream compute from downstream consumption, so high-fidelity spatial assets behave like streamable media. - [Miris and Voxel51: High-fidelity 3D streaming meets visual AI](https://www.miris.com/blog/miris-and-voxel51-high-fidelity-3d-streaming-meets-visual-ai): Miris is integrating its spatial streaming SDK into FiftyOne, letting users view and work with streamed 3D assets in context with annotations, model outputs, and metadata, no cloud GPU required. - [Why 3D delivery needs its own infrastructure stack](https://www.miris.com/blog/why-3d-delivery-needs-its-own-infrastructure-stack): Discover why 3D delivery requires a dedicated infrastructure stack, leveraging GPU compute and cloud solutions for scalable, high-fidelity digital asset streaming. - [Playbook and Miris team up to unlock high-fidelity 3D asset review](https://www.miris.com/blog/playbook-and-miris-team-up-to-unlock-high-fidelity-3d-asset-review): The Miris integration brings native 3D visualization to Playbook, enabling teams to inspect full-fidelity 3D assets interactively, directly inside the asset management workflow. - [Scaling 3D into online retail: why technical constraints limit product storytelling](https://www.miris.com/blog/scaling-3d-into-online-retail-why-technical-constraints-have-kept-you-from-telling-better-product-stories): Streaming architecture eliminates per-SKU optimization costs by transmitting 3D data progressively. - [Miris public beta is live](https://www.miris.com/blog/miris-public-beta-is-live): What you can do with Miris right now — asset upload, Web SDK, free beta access tiers, and early partner integrations with Playbook and Voxel51 - [Public beta opens March 24](https://www.miris.com/blog/public-beta-opens-march-24): The announcement explaining Miris's approach vs. client-side rendering and pixel streaming, and what to expect from the beta - [The configurator tax: Why your best 3D work never ships](https://www.miris.com/blog/the-configurator-tax): How polygon budget constraints and optimization overhead consume configurator projects, and how adaptive streaming eliminates the tradeoff - [Why glTF works until it doesn't, and what comes next](https://www.miris.com/blog/why-gltf-works-until-it-doesnt-and-what-comes-next): A technical analysis of glTF's design constraints at scale and where field-based adaptive streaming takes over - [Why field-based representations win for streaming 3D content](https://www.miris.com/blog/why-field-based-representations-win-for-streaming-3d-content): Why Gaussian splatting and field-based formats outperform mesh formats for adaptive streaming delivery, particularly on mobile - [We streamed 100GB 3D environments to a 4-year-old laptop GPU](https://www.miris.com/blog/we-streamed-100gb-3d-environments-to-a-4-year-old-laptop-gpu): A technical demonstration of Miris streaming large-scale OpenUSD environments via NVIDIA Omniverse and IsaacSim on consumer hardware - [Streaming real-time HDR reflections to the web](https://www.miris.com/blog/streaming-real-time-hdr-reflections-to-the-web): Technical walkthrough of streaming HDR reflection data in real time through the Miris pipeline, preserving physically accurate lighting without GPU provisioning. - [You wouldn't download a movie before watching it.](https://www.miris.com/blog/you-wouldnt-download-a-movie-before-watching-it): Why the download-before-render model for 3D is structurally broken, and how progressive spatial streaming changes the interaction model for web 3D experiences. - [3D retail's last barrier isn't creation. It's delivery.](https://www.miris.com/blog/3d-retails-last-barrier-isnt-creation-its-delivery): The three barriers to enterprise 3D adoption — creation cost, format fragmentation, and delivery infrastructure — and why only delivery remains unsolved at scale. - [Spatial computing is not 3D](https://www.miris.com/blog/spatial-computing-is-not-3d): Why spatial computing is fundamentally different from stereoscopic 3D — it's interactive technology where digital objects exist in physical space, already accessible through smartphones and browsers, not just headsets. - [The Miris mission: instant 3D streaming at scale](https://www.miris.com/blog/the-miris-mission-instant-streaming-of-3d-spatial-content-at-scale): How Miris is building the infrastructure layer for 3D spatial content delivery — the same systems-level problem Netflix and YouTube solved for video, applied to interactive 3D. - [The missing layer in collaborative 3D](https://www.miris.com/blog/the-missing-layer-in-collaborative-3d): Miris integrates with Cavrnus to let teams review, annotate, and iterate on full-fidelity 3D assets inside a shared space — eliminating the tradeoff between collaborative presence and asset quality. - [What 3D artists need to know before uploading to Miris](https://www.miris.com/blog/what-3d-artists-need-to-know): A practical guide for 3D artists on preparing assets for the Miris pipeline — OpenUSD format requirements, why pre-optimization should be skipped, and how to review previews before generating streamable versions. - [Why 2026 is the year 3D distribution catches up to creation](https://www.miris.com/blog/why-2026-is-the-year-3d-distribution-finally-catches-up-to-creation): While generative AI has collapsed 3D creation costs, distribution infrastructure hasn't kept pace — why field-based streaming is the architecture that closes the gap. - [Why high-fidelity 3D can't scale to millions](https://www.miris.com/blog/why-high-fidelity-3d-still-cant-scale-to-millions-of-users-and-how-we-fixed-it): Why both download-based and pixel streaming delivery methods fail economically at scale, and how Miris's adaptive spatial streaming architecture eliminates the constraint. ## Glossary Miris maintains a glossary of terms relevant to 3D streaming, spatial computing, and asset delivery infrastructure. - [What is Adaptive Streaming?](https://www.miris.com/glossary/adaptive-streaming): How adaptive streaming dynamically adjusts resolution and detail based on network conditions and device capabilities in real time - [What is Asset Optimization?](https://www.miris.com/glossary/asset-optimization): The automated pipeline Miris uses to convert source assets into streaming-optimized formats without destructive compression - [What is OpenUSD?](https://www.miris.com/glossary/openusd): OpenUSD or Universal Scene Description is an open-source 3D scene description framework for interchanging, composing, and simulating complex 3D scenes across different software tools. - [What is Photoreal Rendering?](https://www.miris.com/glossary/photoreal-rendering): Techniques for achieving photographic-quality visual fidelity in real-time 3D, including how Miris preserves material detail across devices - [What is a Web 3D Model Viewer?](https://www.miris.com/glossary/web-3d-model-viewer): Embedded browser components for displaying interactive 3D assets, including how Miris-powered viewers differ from download-first alternatives - [What is 3D PBR (Physically Based Rendering)?](https://www.miris.com/glossary/3d-pbr-physically-based-rendering): The material and lighting model that produces accurate real-world surface appearances, and how Miris preserves PBR fidelity through the streaming pipeline - [What is 3D product configurator?](https://www.miris.com/glossary/3d-product-configurator): A 3D product configurator is an interactive application that lets users customize and visualize products in real time. - [What is 3D streaming?](https://www.miris.com/glossary/what-is-3d-streaming): 3D streaming delivers three-dimensional content progressively over a network, so you can start interacting immediately while quality improves over time. - [What is Augmented Reality?](https://www.miris.com/glossary/what-is-augmented-reality-ar): Technology that overlays interactive digital content onto the real world in real time. - [What is Gaussian splatting?](https://www.miris.com/glossary/what-is-gaussian-splatting): A 3D representation method that models scenes as millions of small, semi-transparent "splats" that blend together to form photorealistic environments. - [What is Level of Detail?](https://www.miris.com/glossary/level-of-detail-lod): A rendering technique that dynamically adjusts 3D detail based on viewing distance, size, or importance. - [What is spatial computing?](https://www.miris.com/glossary/spatial-computing): Spatial computing refers to the ability of computers to place digital objects in the real world around you. - [What is pixel streaming?](https://www.miris.com/glossary/pixel-streaming): Pixel streaming renders 3D graphics entirely on remote servers, then encodes the output as video and streams it to the user's device in real-time. - [What are neural radiance fields NERFs?](https://www.miris.com/glossary/neural-radiance-fields-nerfs): Neural radiance fields (NeRF) represent 3D scenes as neural networks trained on photographs or synthetically generated datasets. - [What is WebGL?](https://www.miris.com/glossary/webgl): WebGL (Web Graphics Library) is a JavaScript API that enables web browsers to render interactive 2D and 3D graphics without plugins. - [What is GL Transmission Format?](https://www.miris.com/glossary/gl-transmission-format): GL Transmission Format (glTF) is an open standard file format for 3D models and scenes. - [What is OpenPBR?](https://www.miris.com/glossary/openpbr): An open-source physically-based rendering material model co-developed by Adobe and Intel to standardize surface material definitions across 3D applications and rendering engines. - [What is OpenEXR?](https://www.miris.com/glossary/openexr): A high-dynamic-range (HDR) image format developed by Industrial Light & Magic, widely used in VFX and 3D rendering pipelines for its precision, multi-channel support, and lossless compression. - [What is MaterialX?](https://www.miris.com/glossary/materialx): An open standard for describing material appearance — surface shading, displacement, and lighting — enabling consistent look and feel when transferring assets across different 3D tools and renderers. ## Optional - [Miris Blog Index](https://www.miris.com/blog): All published posts on adaptive spatial streaming, 3D infrastructure, and developer experience - [Miris Glossary Index](https://www.miris.com/glossary): Full index of 3D streaming and spatial computing terminology - [Careers](https://www.miris.com/careers): Open roles on the Miris engineering and product team ## Excluded The following pages contain operational, legal, or UI-only content not useful for AI inference: - https://www.miris.com/privacy-policy - https://www.miris.com/terms-of-use - https://www.miris.com/cookie-policy - https://player.miris.com/embed (embed iframes and player UI shells) - https://mirisdocs.com/changelog (version history logs) - Any URL containing `/dashboard`, `/account`, or `/admin` (authenticated app pages) - Any URL containing `?utm_` or `?hubs=` (UTM-tagged and HubSpot-tracked marketing variants of canonical pages)